Data Analyst

Job Description

The Data Analyst will play a crucial role in analyzing and interpreting data related to email marketing campaigns and e-commerce performance. This role requires a strong understanding of key performance metrics, customer behavior, and sales trends to drive data-informed decisions. The ideal candidate is highly proficient in tools like Google Sheets, analytics platforms, and Shopify, with a deep understanding of e-commerce marketing strategies.

Key Responsibilities:

• Analyze email marketing performance metrics, including open rates, click rates, and conversion rates, to identify opportunities for optimization.
• Use Google Sheets and other analytics tools to track KPIs and present actionable insights to stakeholders.
• Monitor Lifetime-to-date (LTD) metrics, time-to-purchase, and customer behavior within the first 30 days post-purchase to optimize retention strategies.
• Identify sales trends and customer purchasing patterns to support e-commerce growth.
• Align email marketing strategies with Shopify store goals and e-commerce marketing plans.
• Develop dashboards and reports to visualize performance data and trends effectively.
• Work closely with marketing and product teams to translate insights into data-driven strategies.
• Provide recommendations for improving customer engagement and lifetime value based on data analysis.
• Assist in A/B testing efforts for email campaigns and promotional activities.
• Ensure data integrity and accuracy across reporting tools and platforms.

Requirements

Qualifications:

• Bachelor's degree in Data Science, Statistics, Marketing Analytics, Business, or a related field.
• Proven experience in data analysis, preferably within e-commerce or digital marketing.
• Proficiency in Google Sheets, SQL, Excel, and data visualization tools (e.g., Google Data Studio, Looker, or Tableau).
• Strong understanding of email marketing analytics and KPIs.
• Familiarity with Shopify analytics and e-commerce performance tracking.
• Ability to interpret and present complex data in a clear and actionable manner.
• Excellent problem-solving skills and attention to detail.
• Experience with A/B testing methodologies is a plus.
• Strong communication skills and ability to work collaboratively with cross-functional teams.

Preferred Skills (Nice to Have):

• Knowledge of Python or R for data analysis.
• Experience with email marketing platforms like Klaviyo, Mailchimp, or HubSpot.
• Understanding of customer segmentation and retention strategies in e-commerce.
• Background in Google Analytics 4 (GA4) and UTM tracking.

Benefits

What we Offer:

• Opportunities for growth and advancement
• Competitive compensation package, including Philcare HMO

Work Hours:

• Part-time, Eastern Standard Time business hours, Remote

Pay: TBD